Chi Square Flashcards

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1
Q

Examples of parametric stats

A

Z-test, Pearsons r, ANOVA

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2
Q

Assumptions of parametric stats

A

Normal distribution
Similar variance across groups
Data are interval or ratio

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3
Q

Non parametric stats when is it used

A

Nominal and ordinal data (spearman’s rho, phi coefficient)

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4
Q

Non parametric stats

A

Non-normally distributed data (heavily skewed)
Data that have heterogeneous variance (one group more variable)

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5
Q

Do parametric stats have a non parametric alternative?

A

Yes many do

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6
Q

What is chi square

A

Make comparisons but data is nominal (no means). When DV is nominal and we are looking at the frequency of falling into different categories. Test whether frequencies are by chance or a theorized pattern

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7
Q

What is chi square similar to

A

Phi coefficient. The phi coefficient is used as an effect size.

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8
Q

What is DV in chi square

A

Frequency

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9
Q

How many variables are in a one way chi square

A

Data characterized by one variable only

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10
Q

How many levels does a category have

A

Any # ex: if it’s birth month it would have 12

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11
Q

What does goodness of fit mean

A

How well does our data fit the null

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12
Q

If a chi square has a degrees of freedom of 1 what does that mean

A

You can make stronger claims

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13
Q

What is the null for a chi square

A

Ho= the observed frequency match what would be expected due to chance

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14
Q

What is the alternative for chi square

A

Ha does not equal frequencies lexpected by chance

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15
Q

How do you find the expected frequency for a one way chi square

A

N/k

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16
Q

Is df for chi square related to sample size?

A

No

17
Q

What is a 2 way chi square

A

Does membership in one category depend on another. Two categorical nominal DVs
Ex: political party and gender. Kinda like correlation

18
Q

Key assumptions for the chi square?

A

Each person can only be one cell (ex don’t ask the same ppl in 2007 and 2017)

Conclusions include data from all participants including negative responses

The expected frequencies should be at least 5 for each category